The First 50 Contributions to the <i>Data Observer</i> Series – An Overview-Reference-Cited by-同舟云学术

The First 50 Contributions to the Data Observer Series – An Overview

Published:2022-11-04 Issue:5-6 Volume:242 Page:707-712
ISSN:0021-4027
Container-title:Jahrbücher für Nationalökonomie und Statistik
language:en
Short-container-title:

Author:

Wagner Joachim¹^ORCID

Affiliation:

1. Institut für Volkswirtschaftslehre , Leuphana Universität Lüneburg Fakultät Wirtschaft , Scharnhorststr. 1 , 21335 Lüneburg , Germany

Abstract

Abstract Since 2016 the Journal of Economics and Statistics has the Data Observer section with descriptions of data that can be used in empirical research in economics and in the social sciences in general. This note gives a short overview of the first 50 contributions to the series published until 2022.

Publisher

Walter de Gruyter GmbH

Subject

Economics and Econometrics,Social Sciences (miscellaneous),General Business, Management and Accounting

Link

https://www.degruyter.com/document/doi/10.1515/jbnst-2022-0061/pdf

Reference52 articles.

1. Antoni, M. and Bethmann, A. (2019). PASS-ADIAB – linked survey and administrative data for research on unemployment and poverty. J. Econ. Stat. 239: 747–756, https://doi.org/10.1515/jbnst-2018-0002.

2. Antoni, M. and Schnell, R. (2019). The past, present and future of the German Record Linkage Center (GRLC). J. Econ. Stat. 239: 319–331, https://doi.org/10.1515/jbnst-2017-1004.

3. Bellmann, L., Gleiser, P., Hensgen, S., Kagerl, C., Leber, U., Roth, D., Umkehrer, M., and Stegmaier, J. (2022). Establishments in the Covid-19-crisis (BeCovid) – a high – frequency establishment survey to monitor the impact of the Covid-19 pandemic. J. Econ. Stat. 242: 421–430, https://doi.org/10.1515/jbnst-2022-0028.

4. Bertschek, I., Ohnemus, J., and Viete, S. (2018). The ZEW ICT survey 2002 to 2015: measuring the digital transformation in German firms. J. Econ. Stat. 238: 87–99, https://doi.org/10.1515/jbnst-2016-1005.

5. Börsch-Supan, A., Czaplicki, C., Friedel, S., Herold, I., Korbmacher, J., and Mika, T. (2020). SHARE-RV: linked data to study aging in Germany. J. Econ. Stat. 240: 121–132, https://doi.org/10.1515/jbnst-2018-0034.

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